Evaluation of a Validation Method for MR Imaging-Based Motion Tracking Using Image Simulation. (13th September 2009)

• Record Type: Journal Article
• Authors: Moerman Moerman, Kevin M. Kevin M.; Kerskens Kerskens, Christian M. Christian M.; Lally Lally, Caitríona Caitríona; Flamini Flamini, Vittoria Vittoria; Simms Simms, Ciaran K. Ciaran K.
• Other Names: Tavares Tavares João Manuel R. S. João Manuel R. S. Academic Editor.
• Is Part Of: EURASIP journal on advances in signal processing. Volume 2010(2010)
• Publication Date: 2009-09-13
• Subjects: Signal processing -- Periodicals; Traitement du signal; Signal processing; Periodicals; 621.3822
• DOI: 10.1155/2010/942131
• Languages: English
• ISSNs: 1687-6172

Abstract

Abstract : Magnetic Resonance (MR) imaging-based motion and deformation tracking techniques combined with finite element (FE) analysis are a powerful method for soft tissue constitutive model parameter identification. However, deriving deformation data from MR images is complex and generally requires validation. In this paper a validation method is presented based on a silicone gel phantom containing contrasting spherical markers. Tracking of these markers provides a direct measure of deformation. Validation of in vivo medical imaging techniques is often challenging due to the lack of appropriate reference data and the validation method may lack an appropriate reference. This paper evaluates a validation method using simulated MR image data. This provided an appropriate reference and allowed different error sources to be studied independently and allowed evaluation of the method for various signal-to-noise ratios (SNRs). The geometric bias error was between 0–5.560 × 10 − 3 voxels while the noisy magnitude MR image simulations demonstrated errors under 0.1161 voxels (SNR: 5–35).